#!/usr/bin/env python
# coding: utf-8

# # Weekly exercise 8: Simple Matplotlib exercises
# 
# Follow the compulsory QuantEcon DataScience tutorial at
# [https://datascience.quantecon.org/applications/visualization_rules.html](https://datascience.quantecon.org/applications/visualization_rules.html)

# ## Task 1
# 
# Import the necessary libraries

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# hint: we need pd and plt
@@@

# print the graphs in the notebook
get_ipython().run_line_magic('matplotlib', 'inline')


# ## Task 2
# 
# Import the dataset from [https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/07_Visualization/Tips/tips.csv](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/07_Visualization/Tips/tips.csv)
# 
# Assign it to a variable called tips
# 
# Take the first look at the dataset

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# write your code here


# ## Task 3
# 
# Delete the Unnamed 0 column

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# write your code here


# ## Task 4
# 
# Plot the total_bill column histogram:
# 
# - create the histogram plot object  
# - set axes labels and plot title  
# 
# 
# Follow [https://matplotlib.org/gallery/pyplots/pyplot_text.html#sphx-glr-gallery-pyplots-pyplot-text-py](https://matplotlib.org/gallery/pyplots/pyplot_text.html#sphx-glr-gallery-pyplots-pyplot-text-py)

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# write your code here


# ## Task 5
# 
# Create a scatter plot presenting the relationship between total_bill and tip,
# using one function.

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# write your code here


# ## Task 6
# 
# Create one 3 by 3 image with the relationship of total_bill, tip and size.
# Again, use just one function.

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# write your code here


# ## Task 7
# 
# Present the relationship between days and total_bill value.
# Use `jitter = True` argument for visual appeal.

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# write your code here


# ## Task 8
# 
# Create two scatterplot graphs, one for Male and another for Female, presenting the total_bill value and tip relationship, differing by smoker or non-smoker. Add a legend.

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# write your code here